Senior Data Scientist

My client is an one of Australias leading insurance providers with a national presence and they're looking to expand their analytics capability with the appointment of Senior Data Scientist to their Melbourne team. This role is a critical one and will provide the opportunity for long term growth and development both professional and technically.

Your Experience

• Experience working in cloud based environments (e.g.: AWS/GCP/Azure)
• Experience in analytical / data science tools - Python, SQL and Jupyter Notebooks
• Experience to undertake data and statistical analysis using relevant tools (Especially in Python);
• Advanced data mining and predictive modelling skills (e.g. regression, segmentation, machine learning, Bayesian, boosting, random forests, decision trees)
• Experience working with large unstructured and structured datasets preferably by using PySpark or SageMaker
• Demonstrated experience in managing a variety of different types and structures of data, matching and extracting data, ensuring integrity, quality and accuracy;
• Identify relevant data sets and external data opportunities and interrogate them to provide insight that can shape thinking and answer strategic questions;
• Excellent communication skills, being able to distil complex analytical solutions into simple explanations, understood by the business

What's in it for you?

• The opportunity to be involved in meaningful work that will have a long lasting impact.
• Be a part of a great culture of highly intellectual individuals who greatly care about their colleagues.
• The opportunity is in an industry which thrived throughout the pandemic and went from strength to strength providing peace of mind around job security
• Work alongside a diverse team of individuals from numerous different backgrounds globally
• Flexible working arrangements available to all candidates, allowing for great work life balance.

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